This course introduces standard approaches to neuroimage analysis, including basic concepts of neuroimaging, basic algorithms, principles of software systems, and their applications. Neuroimage analysis software tools will be used in hands-on projects.
Graduate/undergraduate students in Computer Science.
Graduate/undergraduate students in Psychology, Neuroscience, Cell Biology, Bioinformatics, and Engineering could benefit from this course, and are welcome to attend.
1. Overview of the course
2. Human brain
3. Neuroimaging and MRI
4. Neuroimage registration
5. Neuroimage segmentation
6. Shape analysis
9. Methodologies and tools
Instructor: Tianming Li (Email: email@example.com, Phone: 706-542-3478)
Instructor Office Hours: Wednesday 10-11am, Thursday 2~3 pm, Immediately after the class. Boyd GSRC 420.
Class Location: GSRC 306/Hardman
Time: 04 (11:15-12:05) Wed / 73 (11:00-12:15) Tues, Thur
Arthur Toga, John Mazziotta, Brain Mapping: The Methods, Academic Press, Second Edition, 2006.
Atam P. Dhawan, H. K. Huang, Dae-shik Kim, Principles and Recent Advances in Medical Imaging and Image Analysis, World Scientific Publishing Company (September 30, 2008).
Jerry Prince and Jonathan Links, Medical Imaging Signals and Systems, Pearson Prentice Hall, 2006. M.Sonka, V. Hlavac, R. Boyle: Image Processing, Analysis, and Machine Vision, Chapman and Hall 2007, 3rd edition.
Joseph Hajnal, D. J. Hawkes, Derek Hill, Medical Image Registration, CRC
ITK Software Guide: http://www.itk.org/
Eric R. Kandel, James Schwartz and Thomas Jessell, Principles of Neural Science, Elsevier, 5th edition.
10% Class Participation
20% Mid-term exam
30% Final exam
All students are responsible for knowing
the University's policy on academic honesty. All assignments submitted
in this course must be your own unless you have received my permission
to collaborate and have properly acknowledged receiving assistance.
Final project report is the result of the collaboration between 2-3
students. It is the responsibility of the instructor and the TA to uphold
the University's academic honesty policy and report my belief of dishonesty
to the Office of the Vice President for Instruction.